Natural language processing models that automate programming will transform chemistry research and teaching

Glen M. Hocky, Andrew D. White

Research output: Contribution to journalArticlepeer-review

Abstract

Natural language processing models have emerged that can generate useable software and automate a number of programming tasks with high fidelity. These tools have yet to have an impact on the chemistry community. Yet, our initial testing demonstrates that this form of artificial intelligence is poised to transform chemistry and chemical engineering research. Here, we review developments that brought us to this point, examine applications in chemistry, and give our perspective on how this may fundamentally alter research and teaching.

Original languageEnglish (US)
Pages (from-to)79-83
Number of pages5
JournalDigital Discovery
Volume1
Issue number2
DOIs
StatePublished - Apr 1 2022

ASJC Scopus subject areas

  • Chemistry (miscellaneous)

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